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AIF-C01 Practice Questions

AWS Certified AI Practitioner Exam

Last Update 5 hours ago
Total Questions : 401

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Our free AWS Certified AI Practitioner practice questions crafted to reflect the domains and difficulty of the actual exam. The detailed rationales explain the 'why' behind each answer, reinforcing key concepts about AIF-C01. Use this test to pinpoint which areas you need to focus your study on.

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Question # 31

A retail store wants to predict the demand for a specific product for the next few weeks by using the Amazon SageMaker DeepAR forecasting algorithm.

Which type of data will meet this requirement?

Options:

A.  

Text data

B.  

Image data

C.  

Time series data

D.  

Binary data

Discussion 0
Question # 32

An AI practitioner is building an ML model. The AI practitioner wants to provide model transparency and explainability to stakeholders.

Which solution will meet these requirements?

Options:

A.  

Present the model Shapley values.

B.  

Provide the model accuracy measure.

C.  

Provide the model confusion matrix.

D.  

Provide a secure model inference endpoint.

Discussion 0
Question # 33

A company has created a custom model by fine-tuning an existing large language model (LLM) from Amazon Bedrock. The company wants to deploy the model to production and use the model to handle a steady rate of requests each minute.

Which solution meets these requirements MOST cost-effectively?

Options:

A.  

Deploy the model by using an Amazon EC2 compute optimized instance.

B.  

Use the model with on-demand throughput on Amazon Bedrock.

C.  

Store the model in Amazon S3 and host the model by using AWS Lambda.

D.  

Purchase Provisioned Throughput for the model on Amazon Bedrock.

Discussion 0
Question # 34

A company is building a large language model (LLM) question answering chatbot. The company wants to decrease the number of actions call center employees need to take to respond to customer questions.

Which business objective should the company use to evaluate the effect of the LLM chatbot?

Options:

A.  

Website engagement rate

B.  

Average call duration

C.  

Corporate social responsibility

D.  

Regulatory compliance

Discussion 0
Question # 35

A company wants to create an application by using Amazon Bedrock. The company has a limited budget and prefers flexibility without long-term commitment.

Which Amazon Bedrock pricing model meets these requirements?

Options:

A.  

On-Demand

B.  

Model customization

C.  

Provisioned Throughput

D.  

Spot Instance

Discussion 0
Question # 36

A hospital is developing an AI system to assist doctors in diagnosing diseases based on patient records and medical images. To comply with regulations, the sensitive patient data must not leave the country the data is located in.

Which data governance strategy will ensure compliance and protect patient privacy?

Options:

A.  

Data residency

B.  

Data quality

C.  

Data discoverability

D.  

Data enrichment

Discussion 0
Question # 37

A company wants to develop a solution that uses generative AI to create content for product advertisements, Including sample images and slogans.

Select the correct model type from the following list for each action. Each model type should be selected one time. (Select THRE

E.  

)

• Diffusion model

• Object detection model

• Transformer-based model

Question # 37

Options:

Discussion 0
Question # 38

A social media company wants to use a large language model (LLM) to summarize messages. The company has chosen a few LLMs that are available on Amazon SageMaker JumpStart. The company wants to compare the generated output toxicity of these models.

Which strategy gives the company the ability to evaluate the LLMs with the LEAST operational overhead?

Options:

A.  

Crowd-sourced evaluation

B.  

Automatic model evaluation

C.  

Model evaluation with human workers

D.  

Reinforcement learning from human feedback (RLHF)

Discussion 0
Question # 39

A healthcare company wants to create a model to improve disease diagnostics by analyzing patient voices. The company has recorded hundreds of patient voices for this project. The company is currently filtering voice recordings according to duration and language.

Options:

A.  

Data collection

B.  

Data preprocessing

C.  

Feature engineering

D.  

Model training

Discussion 0
Question # 40

A company is building a contact center application and wants to gain insights from customer conversations. The company wants to analyze and extract key information from the audio of the customer calls.

Which solution meets these requirements?

Options:

A.  

Build a conversational chatbot by using Amazon Lex.

B.  

Transcribe call recordings by using Amazon Transcribe.

C.  

Extract information from call recordings by using Amazon SageMaker Model Monitor.

D.  

Create classification labels by using Amazon Comprehend.

Discussion 0
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